Descriptive Statistics Courses
Descriptive statistics courses can help you learn how to summarize data sets, calculate measures of central tendency, and assess variability. You can build skills in interpreting frequency distributions, creating visual data representations, and performing hypothesis testing. Many courses introduce tools like Excel, R, or Python for data analysis, allowing you to apply these skills in practical scenarios, such as analyzing survey results or evaluating experimental data.
Popular Descriptive Statistics Courses and Certifications
Johns Hopkins University
Skills you'll gain: Probability & Statistics, Probability, Probability Distribution, Simulations, Statistical Modeling, Statistical Methods, Estimation, Correlation Analysis, Engineering Analysis, Statistical Analysis, Reliability, Engineering, Spatial Analysis
University of Michigan
Skills you'll gain: Histogram, Data Literacy, Data Presentation, Data Collection, Descriptive Statistics, Statistics, Data Analysis, Statistical Visualization, Plot (Graphics), Probability & Statistics, Statistical Reporting, Sampling (Statistics), Research, Data Validation
University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Statistical Software, Microsoft Excel, Excel Formulas, Probability & Statistics, Data Analysis, Regression Analysis, Statistical Inference, Probability Distribution, Data Analysis Software, Statistical Modeling, Analysis, Probability
Skills you'll gain: Data Analysis, Analytics, Data Literacy, Correlation Analysis, Applied Machine Learning, Data Visualization, Machine Learning
Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Methods, Statistical Inference, Scientific Methods, Quantitative Research, Epidemiology, Public Health, Analysis
University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Probability & Statistics, Data-Driven Decision-Making, Statistical Analysis, Sampling (Statistics), Jupyter, Analysis, Statistical Programming, Statistical Software, Python Programming
University of Washington
Skills you'll gain: Unsupervised Learning, Supervised Learning, Data Science, Machine Learning Methods, Predictive Analytics, Applied Machine Learning, Analytics, Data Analysis, R Programming, Model Optimization, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning, Statistics, Graph Theory, Classification Algorithms, Network Analysis, Big Data
Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, R (Software), Statistical Programming, Statistical Methods, Probability & Statistics, Statistics, Data Visualization, Statistical Analysis, Plot (Graphics), Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability
Macquarie University
Skills you'll gain: Pivot Tables And Charts, Interactive Data Visualization, Data Visualization, Statistical Inference, Data Visualization Software, Data Presentation, Correlation Analysis, Microsoft Excel, Data Literacy, Spreadsheet Software, Probability & Statistics, Statistics, Regression Analysis, Statistical Hypothesis Testing, Data Analysis, Statistical Methods, Excel Formulas, Statistical Analysis, Sampling (Statistics), Statistical Software
Skills you'll gain: Statistical Inference, Statistical Programming, Regression Analysis, Logistic Regression, Statistical Methods, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Predictive Modeling, Model Evaluation, Probability & Statistics, Statistical Hypothesis Testing, Probability Distribution
Illinois Tech
Skills you'll gain: Statistical Analysis, Data Analysis, Data Science, Statistical Programming, Statistical Methods, Statistical Machine Learning, Statistical Modeling, Applied Machine Learning, Model Evaluation, Regression Analysis, Statistics, Machine Learning Methods, Machine Learning Algorithms, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Logistic Regression
Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Statistical Programming, Probability Distribution, Data Analysis, Statistical Software, Markov Model, Data Science, Statistical Modeling, Statistical Inference, Probability, Correlation Analysis, R Programming
In summary, here are 10 of our most popular descriptive statistics courses
- Random Processes:Â Johns Hopkins University
- How to Describe Data:Â University of Michigan
- Statistics and Data Analysis with Excel, Part 2:Â University of Colorado Boulder
- Analyze Business Data Using Statistics Foundations:Â EDUCBA
- Hypothesis Testing in Public Health :Â Johns Hopkins University
- Inferential Statistical Analysis with Python:Â University of Michigan
- Practical Predictive Analytics: Models and Methods:Â University of Washington
- Using probability distributions for real world problems in R:Â Coursera
- Statistics and Data Analysis with Excel: Intermediate:Â Macquarie University
- Variable Selection, Model Validation, Nonlinear Regression:Â Illinois Tech
